The old adage, “if it weren’t for the last minute, nothing would get done” may be a reality for organizations that wait too long to develop robotics and cognitive automation (R&CA) capabilities. Momentum is building as more companies use R&CA technologies to replicate human actions and judgment, thereby performing a wide and growing array of routine tasks. Should your organization get started today or wait for technologies to mature before making a major transformation?
A case for “Society in the loop artificial intelligence”
Posted by Jim Guszcza on May 19, 2017
As automation and robotics fueled by artificial intelligence (AI) become more mainstream, many areas of industry are set to undergo revolutionary changes. New sorts of jobs will likely emerge, some existing jobs will likely undergo transformation, and others may go away. There is good reason for concern about societal disruption, and a pressing need for enlightened societal-level dialogue. But we should not lose sight of the bright side to the creation of machines capable of helping with laborious “spade work.” AI has the potential to create significant value by making us more efficient, extending our intelligence and decision-making capabilities, saving organizations money, and generally helping societies run more smoothly.
Posted by John Houston on May 12, 2017
In the financial services arena, data scientists are taking a seat next to traditional business analysts, tasked with finding value in an ever-expanding quantity of data. By delivering smarter insights using analytics and cognitive technologies, data scientists help address problems in investing and trading strategies, portfolio management, regulatory reporting, client service, and more.
Posted by Ryan Renner on March 31, 2017
Everyone’s talking robotic process automation and cognitive automation (R&CA) these days. Not surprisingly, there’s a lot of hype around those discussions—and many misconceptions. Let me take this opportunity to dispel some of the rumors.
Posted by Nitin Mittal on March 16, 2017
Artificial intelligence (AI) may be in the headlines today, but machine intelligence is the future of advanced analytics. Machine intelligence is the collective term for cognitive computing capabilities that create value by augmenting employee performance, automating complex workloads, and developing human-like “cognitive agents.” Machine intelligence should be on your radar, because your competitors are probably all over it.
Posted by Brenna Sniderman on December 09, 2016.
As we think about advanced, smart technologies, the thing that comes to mind is: robots. Well, maybe just for me. But I think of smart robots that can learn from their surroundings, adjust and figure things out on their own. Robots that can learn from each other, move objects, and work relatively more safely alongside humans, each augmenting the other.
Posted by Nitin Mittal on October 10, 2016
Pharmaceutical companies have operated the same way for decades. Conduct R&D, run clinical trials, endure the regulatory gauntlet, and swing for a home run. This blockbuster-driven business model has produced miracle drugs and flops, winners and losers. And now, it’s going away.
Instead of investing in drugs whose success hinges on risky bets with their inevitable boom or bust cycles, pharma companies are pivoting to a precision medicine-based model–developing drugs to impact a specific patient’s malady or condition.